Document Type : Primary Research paper
Professor, Department of ECE, Koneru Lakshmaiah Education Foundation Vaddeswaram, A.P, India
Assistant Professor, Department of CSE, Mahatma Gandhi Institute of Technology, Hyderabad, Telangana, India
Agriculture is the main emerging subject at everywhere, automation is compulsory.
Population is growing rapidly at fast rate so food is necessary for peoples. Conventional
agriculture method serves intensified results. Because of this food increasing rate is
decreased, this problematic system can be change with the help of traditional methods like
IOT, Machine Learning and Artificial Intelligence. Until we covers edge computing,inter
quartile correlation and static threshold, etc methods. These all methods gives the
sufficient results but improvement is needed. Proposed Sensor Calibration and Feed Back
Method (SCFM) could be use full for better agriculture crop maintenance and automation.
In this research we are finding the leaf colour, leaf size, fertilizer requirements are
analysed. In this context better Agritech-Agriculture gives the solution for current
problems. The data collected from local sensors and remote station sensors gives to control
system in SCFM. Using this scenario exactlyregulator the dispensing of water as well as
chemicals, fertilizers for prevention of diseases.